About this role
The team is seeking a Senior Manager - Data Engineering to lead and innovate within their data engineering team. This role is pivotal in shaping the data strategy and ensuring the effective management of data pipelines and architecture to support business objectives.
Key Responsibilities:
- Lead the design and implementation of scalable data pipelines and architectures.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Mentor and guide a team of data engineers, fostering a culture of innovation and continuous improvement.
- Oversee data quality, governance, and security practices.
- Stay updated with industry trends and emerging technologies to enhance data capabilities.
Required Skills & Qualifications:
- Proven experience in data engineering, with a strong background in data modeling and ETL processes.
- Proficiency in programming languages such as Python or Java.
- Experience with big data technologies like Hadoop, Spark, or similar frameworks.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical and problem-solving skills, with the ability to work in a fast-paced environment.
Experience:
- Minimum of 5 years of experience in data engineering or a related field, with at least 2 years in a managerial role.
What we offer:
- A dynamic work environment that encourages creativity and innovation.
- Opportunities for professional growth and development.
- A collaborative team culture that values diverse perspectives.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.